asteroid
Speech-Separation-Paper-Tutorial
| asteroid | Speech-Separation-Paper-Tutorial | |
|---|---|---|
| 2 | 1 | |
| 2,118 | 699 | |
| 2.0% | - | |
| 5.5 | 2.6 | |
| 28 days ago | about 2 years ago | |
| Python | ||
| MIT License | - |
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asteroid
- Speech separation
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[D] Is it possible to extract certain sounds from a mixture of sounds and noise
Here is a link to a tutorial about that will teach you everything you need to know about source separation, from data, to losses, to commonly used model architectures. That tutorial is built around the nussl source separation library, but some other nice ones exist as well, such as asteroid.
Speech-Separation-Paper-Tutorial
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Streaming device uses sensor to count people in the room for pay-per-person content viewing. Not terrifying at all.
They can also count distinct people in the room through audio, through Speech Separation Algorithms.
What are some alternatives?
nussl - A flexible source separation library in Python
espnet - End-to-End Speech Processing Toolkit
Conv-TasNet - A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Style-Transfer-in-Text - Paper List for Style Transfer in Text
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
speechbrain - A PyTorch-based Speech Toolkit
mmf - A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
voicefilter - Unofficial PyTorch implementation of Google AI's VoiceFilter system
mayavoz - Pytorch based speech enhancement toolkit.
huggingface_hub - The official Python client for the Huggingface Hub.